My Space: Governing Individuals' Carbon Emissions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines the recent growth in projects designed to enable individuals to ‘do their bit’ in the struggle to limit climate change. It discusses them in relation to a long-standing critique of trends towards individualisation amongst environmentalists. It suggests that this critique misses the complex way that subjects are produced by these practices and proposes to analyse subjectification in relation to climate change through the lens of governmentality. The paper then proceeds to examine five specific sorts of practice: carbon footprinting; carbon offsetting; carbon dieting; Carbon Reduction Action Groups; and Personal Carbon Allowances. By drawing on the concept of governmentality we show how contemporary forms of carbon government work through calculative practices that simultaneously totalise (aggregating social practices, overall greenhouse gas emissions) and individualise (producing reflexive subjects actively managing their greenhouse gas practices).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it